MULTIVARIATE ANALYSIS OF GEOGRAPHY AND AGE IN DIALECT VOCABULARY — COMPREHENSIVE ANALYSIS OF 250 YEARS OF LANGUAGE CHANGE —

2013 ◽

Vol 4 (2) ◽

pp. 217-293 ◽

Cited By ~ 1

Author(s):

Helena Metslang

Keyword(s):

Multivariate Analysis ◽

Comprehensive Analysis ◽

Specific Approach ◽

Subject Category ◽

Grammatical Relations ◽

Limited Degree

This study is a construction-specific approach to subjecthood in Estonian. It has grown out of Croft’s (2001) view that due to the diversity of the syntactic roles’ distribution across constructions, there is a need for a shift in grammars to construction- specific syntactic roles. However, in order to compare different arguments, it is also necessary to employ a global cross-constructional subject category. This study treats subjecthood as a set of properties that is represented on arguments to a different degree. The study provides a comprehensive analysis of Estonian prototypical subjects and subject-like arguments (10 in total) from the viewpoint of a large number of morphosyntactic criteria (16). The study is an attempt to apply multivariate analysis on the arguments’ syntactic behaviour research. The paper claims that most Estonian subject-like arguments only show subjecthood properties to a limited degree. Supportive data is provided for the Hierarchy of Grammatical Relations Constructions.

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Culturally conditioned language change? A multivariate analysis of genitive constructions in ARCHER

Late Modern English Syntax ◽

10.1017/cbo9781139507226.011 ◽

2014 ◽

pp. 133-152

Author(s):

Benedikt Szmrecsanyi ◽

Anette Rosenbach ◽

Joan Bresnan ◽

Christoph Wolk

Keyword(s):

Multivariate Analysis ◽

Language Change

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Recent changes in the function and frequency of Standard English genitive constructions: a multivariate analysis of tagged corpora

English Language and Linguistics ◽

10.1017/s1360674307002341 ◽

2007 ◽

Vol 11 (3) ◽

pp. 437-474 ◽

Cited By ~ 54

Author(s):

LARS HINRICHS ◽

BENEDIKT SZMRECSANYI

Keyword(s):

Logistic Regression ◽

Multivariate Analysis ◽

Language Change ◽

Standard English ◽

Relative Importance ◽

Large Database ◽

Independent Variables ◽

Phonological Constraints ◽

The Press ◽

Text Length

This study of present-day English genitive variation is based on all interchangeable instances of s- and of-genitives from the ‘Reportage’ and ‘Editorial’ categories of the ‘Brown family’ of corpora. Variation is studied by tapping into a number of independent variables, such as precedence of either construction in the text, length of the possessor and possessum phrases, phonological constraints, discourse flow, and animacy of the possessor. In addition to distributional analyses, we use logistic regression to investigate the probabilistic factor weights of these variables, thus tracking language change in progress as evidenced in the language of the press. This method, married to our large database, yields the most detailed perspective to date on frequently discussed issues, such as the relative importance of possessor animacy and end-weight in genitive choice (cf. most recently Rosenbach 2005), or on the exact factorial dynamics responsible for the ongoing spread of the s-genitive.

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Dissecting analogical leveling quantitatively: The case of the innovative potential suffix in Tôkyô Japanese

Language Variation and Change ◽

10.1017/s095439450000137x ◽

1993 ◽

Vol 5 (1) ◽

pp. 1-34 ◽

Cited By ~ 5

Author(s):

Kenjirô Matsuda

Keyword(s):

Multivariate Analysis ◽

Language Change ◽

Apparent Lack ◽

Factor I ◽

Five Factors ◽

Tokyo Japanese ◽

Principled Explanation ◽

Innovative Potential ◽

Sociological Variable ◽

Complex Length

ABSTRACTAnalogical leveling in progress of a potential suffix in Tôkyô Japanese is analyzed within a quantitative paradigm. The phenomenon, whereby an innovative potential and a conservative potential alternate, is shown through a multivariate analysis to be controlled by five factors: sociological variable complex, length of the verb stem, conjugation pattern of the verb, the following inflectional form, and embeddedness of the clause containing the suffix. Most of the linguistic constraints are observed crosslinguistically in language change or variation, giving further credibility to the analysis. Although traditional frequency-based theory of analogical leveling would predict stem frequency to be a possible factor, I demonstrate that it is not in this case. As a principled explanation for this apparent lack of contribution from frequency, the Revised Frequency Hypothesis is proposed.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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